Advanced Python for Building Softwares Faster 2023

Hello and welcome to the Advanced Python Coding for Building Softwares Faster 2023 Complete Masterclass.

Learn the Advanced foundations of modern python programming with this powerful, deep, direct to the point and interactive training.

For each concept in this course, you'll master the theory then you'll practice with many real examples.

What you'll learn

• Advanced Collections: Named Tuples, Default Dictionary, Counters, Ordered Dictionary, Queues and Deques

• Advanced Functions: Zipping, Unzipping, Evaluating expressions, Memory view, Mapping objects with lambda, Enumerating objects and Executing Python expressions

• The *args and **kwargs to pass variable number of args

• Iterators and Iterables in Python: Iterate over sequences using different techniques and tricks. Building Iterators using FP and OOP

• Generator functions with many yield statements and Generator expressions

• Metaclass: Built-in metaclasses and building custom metaclass

• Decorators: Functional Programming, Regular way to decorate a function, and the best way using @

• Comprehensions: List comprehension, Dict comprehension, Set comprehension and Tuple comprehension

• Building Logger to indicate the problems

• Creating custom Calendar with different ways

# Reviews about this course

★★★★★ "The course content is comprehensive and has been simplified so well for everyone to understand"

★★★★★ "Good Course:

Advanced topics

Short Videos and well structured

Good audio quality & English speaking

Thank you"

★★★★★ "Amazing"

• Module 1: Introduction + Advanced Collections 54:09

  • 1: Introduction to Training 06:36
  • 2: Python Named Tuples 1 01:43
  • 3: Python Named Tuples 2 04:05
  • 4: Python Named Tuples 3 03:57
  • 5: The DefaultDict in Python 1 01:44
  • 6: The DefaultDict in Python 2 05:54
  • 7: Building Counters 1 01:34
  • 8: Building Counters 2 06:41
  • 9: Building Counters 3 04:12
  • 10: The OrderedDict in Python 1 01:09
  • 11: The OrderedDict in Python 2 03:35
  • 12: The OrderedDict in Python 3 05:17
  • 13: Queues in Python 04:06
  • 14: Deques in Python 03:36

• Module 2: Advanced Functions 58:24

  • 15: Zipping and Unzipping iterables 1 01:06
  • 16: Zipping and Unzipping iterables 2 04:06
  • 17: Zipping and Unzipping iterables 3 05:07
  • 18: Evaluate Python expressions 1 01:23
  • 19: Evaluate Python expressions 2 02:42
  • 20: Evaluate Python expressions 3 03:49
  • 21: Memory view 1 01:17
  • 22: Memory view 2 02:41
  • 23: Memory view 3 06:19
  • 24: Mapping Objects with Lambda 1 01:25
  • 25: Mapping Objects with Lambda 2 05:29
  • 26: Mapping Objects with Lambda 3 04:24
  • 27: Enumerate an object 1 01:49
  • 28: Enumerate an object 2 03:19
  • 29: Enumerate an object 3 04:31
  • 30: The exec to execute code 1 01:25
  • 31: The exec to execute code 2 03:54
  • 32: The exec to execute code 3 03:38

• Module 3: The Power of Args and Kwargs 10:14

  • 33: The args and kwargs overview 01:38
  • 34: Args 03:16
  • 35: Kwargs 05:20

• Module 4: Iterators and Iterables 15:18

  • 36: Iterators and Iterables 1 01:35
  • 37: Iterators and Iterables 2 07:18
  • 38: Iterators and Iterables 3 06:25

• Module 5: Generators 13:46

  • 39: Generators 1 02:29
  • 40: Generators 2 05:13
  • 41: Generators 3 06:04

• Module 6: OOP Metaclasses 10:37

  • 42: OOP Metaclasses 1 01:21
  • 43: OOP Metaclasses 2 05:36
  • 44: OOP Metaclasses 3 03:40

• Module 7: Decorators 18:30

  • 45: Decorator 1 01:34
  • 46: Decorator 2 08:56
  • 47: Decorator 3 08:00

• Module 8: Comprehensions 38:45

  • 48: List Comprehension 1 01:08
  • 49: List Comprehension 2 05:51
  • 50: List Comprehension 3 08:01
  • 51: Dictionary Comprehension 07:31
  • 52: Set Comprehension 09:25
  • 53: Tuple Comprehension 06:49

• Module 9: Logging in Python 09:14

  • 54: Logging overview 03:18
  • 55: Building a logger 05:56

• Module 10: Python Calendars 08:41

  • 56: Calendar overview 00:47
  • 57: Building custom calendars 07:54

Do you want to Advance your Python development career?

Do you want to be able to create real programs using the advanced concepts of Python?

This effective training course is created for you to help you master the most important advanced concepts in python programming language, and it will save your valuable time.

By the end of this course you'll learn:

• Advanced Collections: Named Tuples, Default Dictionary, Counters, Ordered Dictionary, Queues and Deques.

• Advanced Functions: Zipping, Unzipping, Evaluating expressions, Memory view, Mapping objects with lambda, Enumerating objects and Executing Python expressions.

• The *args and **kwargs to pass variable number of args.

• Iterators and Iterables in Python: Iterate over sequences using different techniques and tricks.

  Building Iterators using FP and OOP.

• Generator functions with many yield statements and Generator expressions.

• Metaclass: Built-in metaclasses and building custom metaclass.

• Decorators: Functional Programming, Regular way to decorate a function, and the best way using @.

• Comprehensions: List comprehension, Dict comprehension, Set comprehension and Tuple comprehension.

• Building Logger to indicate the problems.

• Creating custom Calendar with different ways.

This advanced training course is full of examples to clarify each concept in detail.

You'll master all that and more, and if you encounter any problems during this course, you'll get the QA Instructor support as soon as possible.

Learn, understand, practice and master the advanced foundations of the python programming language like python experts .

So, what are you waiting for, enroll now to go through this advanced and deep Training of the most popular Programming Language on the market, Python.

Become An Advanced Python Developer in no time!

Let’s get started!

• Python Beginners who know the Python basics
• Intermediate Python developer
• Anyone who wants to master the advanced foundations of Python in no time
• Python developer who wants to advance his dev career
• Python Developers from all levels who know the Python basics and curious about advanced concepts

• Python Basics such as Variables, Data Types, Data Structures, Control Flow, Loops, Functions and Classes

• The Jupyter Notebook or any working environment for Python

• Python Developer Avg. salary: $107,003 / Annual
• Software Engineer Avg. salary: $111,206 / Annual
• Software Developer Avg. salary: $100,000 / Annual

Reed courses certificate of completion

Digital certificate - Included